content(cms): create Resource "automatic-text-recognition-atr-video-5…

…-text-recognition-and-post-atr-correction/index"

content/posts/automatic-text-recognition-atr-video-5-text-recognition-and-post-atr-correction/index.mdx

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+---
+title: "Automatic Text Recognition (ATR) - Video 5: Text Recognition and
+  Post-ATR Correction"
+lang: en
+date: 2024-05-10T13:03:58.244Z
+version: 1.0.0
+authors:
+  - chiffoleau-floriane
+  - ondraszek-sarah
+editors:
+  - baillot-anne
+  - könig-mareike
+tags:
+  - e-heritage
+abstract: Explore the core concepts of text recognition and model training in
+  our fifth ATR tutorial video. This session breaks down the essentials of
+  creating accurate models, including understanding ground truth data. Perfect
+  for enhancing your ATR skills, the video equips you with the knowledge to
+  improve text extraction from heritage materials.
+domain: Social Sciences and Humanities
+targetGroup: Domain researchers
+type: video
+remote:
+  date: 2024-05-06T08:00:00.000Z
+  url: https://youtu.be/P5O8bPR9hXg?si=MwmAmdLVdcQlpb5r
+  publisher: Deutsches Historisches Institut Paris
+licence: ccby-4.0
+toc: false
+draft: false
+uuid: UnTZVwhbc1jkd424wXnxX
+categories:
+  - dariah
+---
+## Learning Outcomes
+
+-   Build and train models to recognise and interpret text within images.
+-   Apply concepts of machine learning specific to ATR to improve recognition accuracy.
+-   Create ground truth data for training and validating ATR models.
+-   Evaluate the effectiveness of different ATR models based on their output quality.